I have a habit of rating every single movie I watch on IMDb. This repo helps me analyze my IMDb ratings exports while cross-referencing IMDb's datasets. You can run it too!
See my detailed write up, with more beginner-friendly instructions for running it on your own data at film.Antrikshy.
At this time, running this notebook requires:
- Jupyter
- Pandas
- Seaborn
(and all transitive dependencies)
In addition to packages, the notebook assumes the presence of:
- An export of a user's ratings.csv, as generated by IMDb.
- rackfocus_out.db, as generated by Rackfocus using IMDb datasets.
Both files should be placed in the top-level directory as cloned from this repo.
My favorite way to run Jupyter notebooks is using VS Code's built-in notebook support.
Currently, this repo contains one notebook - Analysis.ipynb. In the presence of dependencies listed above, it can be run top-to-bottom as is.